Robotics Software Intern - Sim-to-Real at NVIDIA

Zurich, Zurich, Switzerland

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Robotics, AIIndustries

Requirements

Currently pursuing a degree in Computer Science, Robotics, Engineering, or a related field (MS or PhD)
Proficiency in C++ and Python programming languages
Experience with simulated and real robots
Knowledge of common tools and libraries for robotics and learning (i.e., PyTorch, CUDA, ROS2, physics simulators like Isaac Sim and MuJoCo)
Academic classes or coursework in machine learning, control, and robotics systems
Deployment experience on robots (sim-to-real)

Responsibilities

Bring the latest advancements in Physical AI to simulated and real humanoid robots by building the humanoid reference platform showcasing the power of NVIDIA's technology
Collaborate across team boundaries to integrate NVIDIA robotics products such as Thor and Isaac Sim / Isaac Lab into one solution for humanoid robots
Opportunity to work in a professional software development team in a corporate environment

Skills

Key technologies and capabilities for this role

C++PythonROS2PyTorchCUDAIsaac SimMuJoCoPhysics Simulators

Questions & Answers

Common questions about this position

What qualifications are required for the Robotics Software Intern position?

Candidates must be currently pursuing a degree in Computer Science, Robotics, Engineering, or a related field (MS or PhD), with proficiency in C++ and Python, experience with simulated and real robots, knowledge of robotics tools like PyTorch, CUDA, ROS2, Isaac Sim, and MuJoCo, and coursework in machine learning, control, and robotics systems, plus sim2real deployment experience.

What is the compensation for this internship?

This information is not specified in the job description.

Is this a remote position or does it require on-site work?

This information is not specified in the job description.

What is the company culture like at NVIDIA?

NVIDIA offers a diverse, supportive environment where everyone is inspired to do their best work, with opportunities to collaborate across teams in a professional software development setting.

What makes a candidate stand out for this role?

Previous internships or hands-on experience with robotic systems in commercial or academic settings, experience with NVIDIA tools like Isaac Lab and Isaac ROS, Jetson hardware, and humanoid robots will help candidates stand out.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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